The Experts below are selected from a list of 76296 Experts worldwide ranked by ideXlab platform
Masaaki Ikehara - One of the best experts on this subject based on the ideXlab platform.
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UNEQUAL LENGTH FIRST-ORDER LINEAR-Phase Filter BANKS FOR EFFICIENT IMAGE CODING
2015Co-Authors: Yuichi Tanaka, Masaaki Ikehara, Truong Q. NguyenAbstract:In this paper, we present the structure and design method for a first-order linear-Phase Filter bank (FOLPFB) which has unequal Filter lengths in its synthesis bank (UFLPFB). A FOLPFB is a general-ized version of biorthogonal LPFBs regarding their synthesis Filter lengths. Ringing artifact is the main disadvantage of image coding based on FOLPFBs. UFLPFBs can reduce the ringing artifacts as well as approximate smooth regions well. Index Terms — First-order linear-Phase Filter banks, biorthogo-nal Filter banks, unequal length Filter banks, image coding. 1
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reversible symmetric nonexpansive convolution an effective image boundary processing for mbi m channel lifting based linear Phase Filter banks
IEEE Transactions on Image Processing, 2014Co-Authors: Taizo Suzuki, Masaaki IkeharaAbstract:We present an effective image boundary processing for $M$ -channel $(M\in\BBN, M\geq 2)$ lifting-based linear-Phase Filter banks that are applied to unified lossy and lossless image compression (coding), i.e., lossy-to-lossless image coding. The reversible symmetric extension we propose is achieved by manipulating building blocks on the image boundary and reawakening the symmetry of each building block that has been lost due to rounding error on each lifting step. In addition, complexity is reduced by extending nonexpansive convolution, called reversible symmetric nonexpansive convolution, because the number of input signals does not even temporarily increase. Our method not only achieves reversible boundary processing, but also is comparable with irreversible symmetric extension in lossy image coding and outperformed periodic extension in lossy-to-lossless image coding.
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Reversible Symmetric Nonexpansive Convolution: An Effective Image Boundary Processing for $\mbi{M}$ -Channel Lifting-Based Linear-Phase Filter Banks
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 2014Co-Authors: Taizo Suzuki, Masaaki IkeharaAbstract:We present an effective image boundary processing for $M$ -channel $(M\in\BBN, M\geq 2)$ lifting-based linear-Phase Filter banks that are applied to unified lossy and lossless image compression (coding), i.e., lossy-to-lossless image coding. The reversible symmetric extension we propose is achieved by manipulating building blocks on the image boundary and reawakening the symmetry of each building block that has been lost due to rounding error on each lifting step. In addition, complexity is reduced by extending nonexpansive convolution, called reversible symmetric nonexpansive convolution, because the number of input signals does not even temporarily increase. Our method not only achieves reversible boundary processing, but also is comparable with irreversible symmetric extension in lossy image coding and outperformed periodic extension in lossy-to-lossless image coding.
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a simplified lattice structure of first order linear Phase Filter banks
European Signal Processing Conference, 2007Co-Authors: Yuichi Tanaka, Masaaki Ikehara, T Q NguyenAbstract:A simplified lattice structure for first-order linear-Phase Filter banks (FOLPFBs) is presented in this paper. A FOLPFB is a generalized version of biorthogonal linear-Phase Filter banks regarding their synthesis Filter lengths. FOLPFBs' structure is more complicated and has more parameters than that in other FBs. We propose a method to reduce their redundant parameters without losing their properties. Moreover, regularity can be imposed which reduces the design freedom as well as improves the perceptual quality in image coding.
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EUSIPCO - A simplified lattice structure of first-order linear-Phase Filter banks
2007Co-Authors: Yuichi Tanaka, Masaaki Ikehara, Truong Q. NguyenAbstract:A simplified lattice structure for first-order linear-Phase Filter banks (FOLPFBs) is presented in this paper. A FOLPFB is a generalized version of biorthogonal linear-Phase Filter banks regarding their synthesis Filter lengths. FOLPFBs' structure is more complicated and has more parameters than that in other FBs. We propose a method to reduce their redundant parameters without losing their properties. Moreover, regularity can be imposed which reduces the design freedom as well as improves the perceptual quality in image coding.
Taizo Suzuki - One of the best experts on this subject based on the ideXlab platform.
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reversible symmetric nonexpansive convolution an effective image boundary processing for mbi m channel lifting based linear Phase Filter banks
IEEE Transactions on Image Processing, 2014Co-Authors: Taizo Suzuki, Masaaki IkeharaAbstract:We present an effective image boundary processing for $M$ -channel $(M\in\BBN, M\geq 2)$ lifting-based linear-Phase Filter banks that are applied to unified lossy and lossless image compression (coding), i.e., lossy-to-lossless image coding. The reversible symmetric extension we propose is achieved by manipulating building blocks on the image boundary and reawakening the symmetry of each building block that has been lost due to rounding error on each lifting step. In addition, complexity is reduced by extending nonexpansive convolution, called reversible symmetric nonexpansive convolution, because the number of input signals does not even temporarily increase. Our method not only achieves reversible boundary processing, but also is comparable with irreversible symmetric extension in lossy image coding and outperformed periodic extension in lossy-to-lossless image coding.
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Reversible Symmetric Nonexpansive Convolution: An Effective Image Boundary Processing for $\mbi{M}$ -Channel Lifting-Based Linear-Phase Filter Banks
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 2014Co-Authors: Taizo Suzuki, Masaaki IkeharaAbstract:We present an effective image boundary processing for $M$ -channel $(M\in\BBN, M\geq 2)$ lifting-based linear-Phase Filter banks that are applied to unified lossy and lossless image compression (coding), i.e., lossy-to-lossless image coding. The reversible symmetric extension we propose is achieved by manipulating building blocks on the image boundary and reawakening the symmetry of each building block that has been lost due to rounding error on each lifting step. In addition, complexity is reduced by extending nonexpansive convolution, called reversible symmetric nonexpansive convolution, because the number of input signals does not even temporarily increase. Our method not only achieves reversible boundary processing, but also is comparable with irreversible symmetric extension in lossy image coding and outperformed periodic extension in lossy-to-lossless image coding.
Yuichi Tanaka - One of the best experts on this subject based on the ideXlab platform.
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UNEQUAL LENGTH FIRST-ORDER LINEAR-Phase Filter BANKS FOR EFFICIENT IMAGE CODING
2015Co-Authors: Yuichi Tanaka, Masaaki Ikehara, Truong Q. NguyenAbstract:In this paper, we present the structure and design method for a first-order linear-Phase Filter bank (FOLPFB) which has unequal Filter lengths in its synthesis bank (UFLPFB). A FOLPFB is a general-ized version of biorthogonal LPFBs regarding their synthesis Filter lengths. Ringing artifact is the main disadvantage of image coding based on FOLPFBs. UFLPFBs can reduce the ringing artifacts as well as approximate smooth regions well. Index Terms — First-order linear-Phase Filter banks, biorthogo-nal Filter banks, unequal length Filter banks, image coding. 1
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a simplified lattice structure of first order linear Phase Filter banks
European Signal Processing Conference, 2007Co-Authors: Yuichi Tanaka, Masaaki Ikehara, T Q NguyenAbstract:A simplified lattice structure for first-order linear-Phase Filter banks (FOLPFBs) is presented in this paper. A FOLPFB is a generalized version of biorthogonal linear-Phase Filter banks regarding their synthesis Filter lengths. FOLPFBs' structure is more complicated and has more parameters than that in other FBs. We propose a method to reduce their redundant parameters without losing their properties. Moreover, regularity can be imposed which reduces the design freedom as well as improves the perceptual quality in image coding.
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EUSIPCO - A simplified lattice structure of first-order linear-Phase Filter banks
2007Co-Authors: Yuichi Tanaka, Masaaki Ikehara, Truong Q. NguyenAbstract:A simplified lattice structure for first-order linear-Phase Filter banks (FOLPFBs) is presented in this paper. A FOLPFB is a generalized version of biorthogonal linear-Phase Filter banks regarding their synthesis Filter lengths. FOLPFBs' structure is more complicated and has more parameters than that in other FBs. We propose a method to reduce their redundant parameters without losing their properties. Moreover, regularity can be imposed which reduces the design freedom as well as improves the perceptual quality in image coding.
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ICIP (4) - Unequal Length First-Order Linear-Phase Filter Banks for Efficient Image Coding
2007 IEEE International Conference on Image Processing, 2007Co-Authors: Yuichi Tanaka, Masaaki IkeharaAbstract:In this paper, we present the structure and design method for a first-order linear-Phase Filter bank (FOLPFB) which has unequal Filter lengths in its synthesis bank (UFLPFB). A FOLPFB is a generalized version of biorthogonal LPFBs regarding their synthesis Filter lengths. Ringing artifact is the main disadvantage of image coding based on FOLPFBs. UFLPFBs can reduce the ringing artifacts as well as approximate smooth regions well.
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unequal length first order linear Phase Filter banks for efficient image coding
International Conference on Image Processing, 2007Co-Authors: Yuichi Tanaka, Masaaki IkeharaAbstract:In this paper, we present the structure and design method for a first-order linear-Phase Filter bank (FOLPFB) which has unequal Filter lengths in its synthesis bank (UFLPFB). A FOLPFB is a generalized version of biorthogonal LPFBs regarding their synthesis Filter lengths. Ringing artifact is the main disadvantage of image coding based on FOLPFBs. UFLPFBs can reduce the ringing artifacts as well as approximate smooth regions well.
T Q Nguyen - One of the best experts on this subject based on the ideXlab platform.
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a simplified lattice structure of first order linear Phase Filter banks
European Signal Processing Conference, 2007Co-Authors: Yuichi Tanaka, Masaaki Ikehara, T Q NguyenAbstract:A simplified lattice structure for first-order linear-Phase Filter banks (FOLPFBs) is presented in this paper. A FOLPFB is a generalized version of biorthogonal linear-Phase Filter banks regarding their synthesis Filter lengths. FOLPFBs' structure is more complicated and has more parameters than that in other FBs. We propose a method to reduce their redundant parameters without losing their properties. Moreover, regularity can be imposed which reduces the design freedom as well as improves the perceptual quality in image coding.
J S Kenney - One of the best experts on this subject based on the ideXlab platform.
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an ultra compact linearly controlled variable Phase shifter designed with a novel rc poly Phase Filter
IEEE Transactions on Microwave Theory and Techniques, 2012Co-Authors: Yanyu Huang, Hamhee Jeon, Youngchang Yoon, J S KenneyAbstract:This paper proposes a new vector-sum type variable-Phase shifter (VPS) topology for predistorting the Phase of a modulated signal for an analog-predistortion power amplifier system. It has a continuous linear-in-degree control curve over a 90° Phase-control range and has the smallest size among all those proposed CMOS works. The Phase shifter utilizes an improved RC poly-Phase Filter to generate in-Phase and quadrature-Phase vectors. It uses fewer RC components but has a wider Phase-splitting bandwidth than traditional RC Filters, reducing the loss and size of the overall VPS. Specially-designed control circuits give the shifter a linear Phase-control capability, minimizing the gain variation over the Phase-control range. The Phase shifter, optimized for WCDMA applications, has been fabricated in a standard 0.18-μm CMOS process. The area of the Phase shifter core is 0.063 mm2. The measured operation frequency is from 1 to 2.1 GHz, which is an overlap of its 3-dB cutoff frequency and bandwidth of a 90° Phase-control range. Within the bandwidth, this Phase shifter displays a linear control curve with Phase errors of less than ±1° over a 70° tuning range, making it suitable for accurate AM-PM error compensation.
